Next-generation cleaner and efficient diesel operation with Mn2O3 nanoparticles: Experimental insights and multiobjective RSM optimization

Le résumé fourni par la source

Diesel engines nowadays provide the majority of our energy demands. However, questions regarding their sustainability and future are being raised by the emissions they produce that are harmful to human health and the environment. This study examines the effects of adding manganese (III) oxide (Mn 2 O 3 ) nanoparticles to diesel fuel to increase its sustainability on engine performance and emissions. A single-cylinder air-cooled diesel engine was used to test Mn 2 O 3 nanoparticles supplied to diesel fuel at three different rates (60, 100, and 140 ppm) at six different loads (between 500 and 3000 W). Using the obtained experimental data, three distinct scenarios were optimized using the response surface methodology to determine the optimal operating circumstances that lead to the smallest emissions and highest performance. According to the optimization study, carbon monoxide (CO) has the highest error rate (8.74%) between the values obtained by regression equations and the actual values, and carbon dioxide (CO 2 ) has the lowest error rate (0.92%). All output parameters have R 2 values above 95%, with CO having the lowest at 95.49%. The optimal scenario in three distinct optimization scenarios was found to be the one in which all output parameters are equal. 84.98 ppm Mn 2 O 3 and an engine load of 1478.29 W were found to be the optimal operating characteristics under these conditions. Under optimal working circumstances, CO was determined to be 0.0263%, hydrocarbon was 4.124 ppm, CO 2 was 5.056%, nitrogen oxide (NO x ) was 560.717 ppm, brake specific fuel consumption was 391.87 g/kWh, and brake thermal efficiency was 22.4%. The addition of Mn 2 O 3 nanoparticles was found to significantly increase engine performance while reducing harmful emissions. The developed optimization model confirms its success and sustainability potential.

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